A survey on image-based insect classification

Entomology has had many applications in many biological domains (i.e insect counting as a biodiversity index). To meet a growing biological demand and to compensate a decreasing workforce amount, automated entomology has been around for decades. This challenge has been tackled by computer scientists...

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Bibliographic Details
Published in:Pattern recognition 2017-05, Vol.65, p.273-284
Main Authors: Martineau, Chloé, Conte, Donatello, Raveaux, Romain, Arnault, Ingrid, Munier, Damien, Venturini, Gilles
Format: Article
Language:English
Subjects:
Animal biology
Arthropods
Automated entomology
Biology
Classification
Computer Science
Computer Vision and Pattern Recognition
Image-based insect recognition
Invertebrate Zoology
Life Sciences
Recognition
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Summary:Entomology has had many applications in many biological domains (i.e insect counting as a biodiversity index). To meet a growing biological demand and to compensate a decreasing workforce amount, automated entomology has been around for decades. This challenge has been tackled by computer scientists as well as by biologists themselves. This survey investigates fourty-four studies on this topic and tries to give a global picture on what are the scientific locks and how the problem was addressed. Views are adopted on image capture, feature extraction, classification methods and the tested datasets. A general discussion is finally given on the questions that might still remain unsolved such as: the image capture conditions mandatory to good recognition performance, the definition of the problem and whether computer scientist should consider it as a problem in its own or just as an instance of a wider image recognition problem. [Display omitted] •Fourty-four about image-based insect recognition are scrutinized.•Each paper is qualified from three perspectives: image capture, feature extraction and classification.•Datasets used in the literature are investigated.•A discussion is given in which several questions about the problem are raised.
ISSN:0031-3203
1873-5142
DOI:10.1016/j.patcog.2016.12.020